2_ReportAVIModellingResults
L Leston
29/04/2020
Model coefficients for the best N-mixture model predicting abundance of Alder Flycatcher Empidonax alnorum from AVI-based data at the 50-m scale (AIC= 172.04) (A), 150-m scale (AIC= 171.61) (B), and 500-m scale (AIC= 168.14) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of American Robin Turdus migratorius from AVI-based data at the 50-m scale (AIC= 289.41) (A), 150-m scale (AIC= 291.6) (B), and 500-m scale (AIC= 284.87) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Boreal Chickadee Poecile hudsonicus from AVI-based data at the 50-m scale (AIC= 126.92) (A), 150-m scale (AIC= 129.92) (B), and 500-m scale (AIC= 135.31) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Cedar Waxwing Bombycilla cedrorum from AVI-based data at the 50-m scale (AIC= 126.2) (A), 150-m scale (AIC= 118.63) (B), and 500-m scale (AIC= 123.4) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Chipping Sparrow Spizella passerina from AVI-based data at the 50-m scale (AIC= 566.71) (A), 150-m scale (AIC= 567.49) (B), and 500-m scale (AIC= 576.64) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Common Yellowthroat Geothlypis trichas from AVI-based data at the 50-m scale (AIC= 109.5) (A), 150-m scale (AIC= 111) (B), and 500-m scale (AIC= 118.97) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Dark-eyed Junco Junco hyemalis from AVI-based data at the 50-m scale (AIC= 426.85) (A), 150-m scale (AIC= 422) (B), and 500-m scale (AIC= 437.79) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Gray Jay Perisoreus canadensis from AVI-based data at the 50-m scale (AIC= 466.06) (A), 150-m scale (AIC= 459.33) (B), and 500-m scale (AIC= 465.1) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Hermit Thrush Catharus guttatus from AVI-based data at the 50-m scale (AIC= 692.28) (A), 150-m scale (AIC= 688.17) (B), and 500-m scale (AIC= 693.53) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Le Conte’s Sparrow Ammodramus lecontei from AVI-based data at the 50-m scale (AIC= 251.72) (A), 150-m scale (AIC= 242.8) (B), and 500-m scale (AIC= 243.47) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Lincoln’s Sparrow Melospiza lincolnii from AVI-based data at the 50-m scale (AIC= 473.99) (A), 150-m scale (AIC= 464.25) (B), and 500-m scale (AIC= 471.37) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Olive-sided Flycatcher Contopus cooperi from AVI-based data at the 50-m scale (AIC= 152.68) (A), 150-m scale (AIC= 151.83) (B), and 500-m scale (AIC= 133.74) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Ovenbird Seiurus aurocapillus from AVI-based data at the 50-m scale (AIC= 332.04) (A), 150-m scale (AIC= 323.67) (B), and 500-m scale (AIC= 321.36) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Palm Warbler Setophaga palmarum from AVI-based data at the 50-m scale (AIC= 168.49) (A), 150-m scale (AIC= 153.98) (B), and 500-m scale (AIC= 164.2) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Red-eyed Vireo Vireo olivaceus from AVI-based data at the 50-m scale (AIC= 289.88) (A), 150-m scale (AIC= 282.5) (B), and 500-m scale (AIC= 265.41) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Ruby-crowned Kinglet Regulus calendula from AVI-based data at the 50-m scale (AIC= 361.96) (A), 150-m scale (AIC= 361.85) (B), and 500-m scale (AIC= 364.5) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Swainson’s Thrush Catharus ustulatus from AVI-based data at the 50-m scale (AIC= 665.01) (A), 150-m scale (AIC= 665.64) (B), and 500-m scale (AIC= 664.61) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Swamp Sparrow Melospiza georgiana from AVI-based data at the 50-m scale (AIC= 134.8) (A), 150-m scale (AIC= 127.82) (B), and 500-m scale (AIC= 130.72) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Tennessee Warbler Leiothlypis peregrina from AVI-based data at the 50-m scale (AIC= 326.99) (A), 150-m scale (AIC= 326.27) (B), and 500-m scale (AIC= 317.57) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Winter Wren Troglodytes hiemalis from AVI-based data at the 50-m scale (AIC= 269.22) (A), 150-m scale (AIC= 265.08) (B), and 500-m scale (AIC= 260.39) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of White-throated Sparrow Zonotrichia albicollis from AVI-based data at the 50-m scale (AIC= 321.48) (A), 150-m scale (AIC= 322.54) (B), and 500-m scale (AIC= 318.9) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Yellow-rumped Warbler Setophaga coronata from AVI-based data at the 50-m scale (AIC= 674.11) (A), 150-m scale (AIC= 676.74) (B), and 500-m scale (AIC= 682.45) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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